AI-300 Exam Question 41

Drag and Drop Question
An organization is deploying generative AI solutions by using Microsoft Foundry to support multiple production workloads.
The organization has the following workload requirements:
- One workload must be real-time, latency-sensitive, and have
predictable global usage patterns that demand consistent performance.
- One workload must have variable performance and be optimized for
cost-efficient operation.
You need to select a global deployment type for each workload.
Which type of deployment should you use for each workload requirement? To answer, move the appropriate deployment types to the correct requirements. You may use each deployment type once, more than once, or not at all. You may need to move the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.

AI-300 Exam Question 42

You are designing a new machine learning solution to predict customer churn by using Azure Machine Learning. You have raw data in CSV format stored in Azure Data Lake.
You need to design the solution so that it can efficiently handle large-scale model training and iterative development.
Which two actions should you perform? Each correct answer presents part of the solution.
Choose two.
NOTE: Each correct selection is worth one point.
  • AI-300 Exam Question 43

    Hotspot Question
    You manage a Retrieval-Augmented Generation (RAG) system that retrieves internal policy documents from a vector index.
    Recent analysis shows that:
    - Retrieved results frequently include duplicated content from the same document.
    - Retrieved chunks sometimes span unrelated policy sections.
    You review the following retrieval and ingestion configurations:

    You need to reduce duplicated retrieval results and improve chunk relevance across policy sections. For each of the following statements, select Yes if the statement is true. Otherwise, select No.
    NOTE: Each correct selection is worth one point.

    AI-300 Exam Question 44

    Hotspot Question
    A team deploys a generative AI application built by using Microsoft Foundry to production and receives variable traffic throughout the day.
    The team requires uninterrupted insight into the application s health and model behavior to detect issues without relying on manual inspection.
    You need to select the monitoring capabilities that provide real-time operational visibility into the application.
    Which monitoring capability should you use for each requirement? To answer, select the appropriate options in the answer area.
    NOTE: Each correct selection is worth one point.

    AI-300 Exam Question 45

    Drag and Drop Question
    A team deploys a machine learning model to production and monitors it continuously. Alerts are configured on performance and data quality metrics.
    Multiple alerts are triggered during normal operation.
    You need to perform the appropriate action for each model alert condition.
    Which action should you perform for each alert condition? To answer, move the appropriate actions to the correct model alert conditions. You may use each action once, more than once, or not at all. You may need to move the split bar between panes or scroll to view content.
    NOTE: Each correct selection is worth one point.